Elamur Research⌕
☰
home / venues / Proceedings of the VLDB Endowment / 2023

Proceedings of the VLDB Endowment 2023 — papers

The works of Proceedings of the VLDB Endowment published in 2023 that our library holds (publisher: Association for Computing Machinery): 2 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel ↗Yanli Zhao, Andrew Gu, Rohan Varma et al.220 citations
  2. How Large Language Models Will Disrupt Data Management ↗Raul Castro Fernandez, Aaron J. Elmore, Michael J. M. Franklin et al.115 citations
  3. Lero: A Learning-to-Rank Query Optimizer ↗Rong Zhu, Wei Chen, Bolin Ding et al.88 citations
  4. FederatedScope: A Flexible Federated Learning Platform for Heterogeneity ↗Yuexiang Xie, Zhen Wang, Dawei Gao et al.82 citations
  5. Robust Query Driven Cardinality Estimation under Changing Workloads ↗Parimarjan Negi, Zi‐Niu Wu, Andreas Kipf et al.79 citations
  6. Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesSimran Arora, Brandon Yang, Sabri Eyuboglu et al.74 citations · our summary
  7. Learned Index: A Comprehensive Experimental Evaluation ↗Zhaoyan Sun, Xuanhe Zhou, Guoliang Li72 citations

All works of the year (374)

The most cited first; 2 with our summary link to their page here, the others to the original.

  1. PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel ↗Yanli Zhao, Andrew Gu, Rohan Varma et al.220 citations
  2. How Large Language Models Will Disrupt Data Management ↗Raul Castro Fernandez, Aaron J. Elmore, Michael J. M. Franklin et al.115 citations
  3. Lero: A Learning-to-Rank Query Optimizer ↗Rong Zhu, Wei Chen, Bolin Ding et al.88 citations
  4. FederatedScope: A Flexible Federated Learning Platform for Heterogeneity ↗Yuexiang Xie, Zhen Wang, Dawei Gao et al.82 citations
  5. Robust Query Driven Cardinality Estimation under Changing Workloads ↗Parimarjan Negi, Zi‐Niu Wu, Andreas Kipf et al.79 citations
  6. Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data LakesSimran Arora, Brandon Yang, Sabri Eyuboglu et al.74 citations · our summary
  7. Learned Index: A Comprehensive Experimental Evaluation ↗Zhaoyan Sun, Xuanhe Zhou, Guoliang Li72 citations
  8. LDPTrace: Locally Differentially Private Trajectory Synthesis ↗Yuntao Du, Yujia Hu, Zhikun Zhang et al.71 citations
  9. Multiple Time Series Forecasting with Dynamic Graph Modeling ↗Kai Zhao, Chenjuan Guo, Yunyao Cheng et al.69 citations
  10. DeepJoin: Joinable Table Discovery with Pre-Trained Language Models ↗Yuyang Dong, Chuan Xiao, Takuma Nozawa et al.63 citations
  11. ELPIS: Graph-Based Similarity Search for Scalable Data Science ↗Ilias Azizi, Karima Echihabi, Themis Palpanas58 citations
  12. Pre-Trained Embeddings for Entity Resolution: An Experimental Analysis ↗Alexandros Zeakis, George Papadakis, Dimitrios Skoutas et al.53 citations
  13. LEON: A New Framework for ML-Aided Query Optimization ↗Chen Xu, Haitian Chen, Zibo Liang et al.50 citations
  14. MagicScaler: Uncertainty-Aware, Predictive Autoscaling ↗Zhicheng Pan, Yihang Wang, Yingying Zhang et al.49 citations
  15. An Empirical Evaluation of Columnar Storage Formats ↗Xinyu Zeng, Yulong Hui, Jiahong Shen et al.48 citations
  16. AutoSteer: Learned Query Optimization for Any SQL Database ↗Christoph Anneser, Nesime Tatbul, David Cohen et al.48 citations

See all 374 papers in Proceedings of the VLDB Endowment 2023 — papers →

 Works with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

 Top topics

Topics of its works in our library, with the number of works on each.

Language models & pretraining (2)Evaluation & benchmarks (1)Code & programming languages (1)Semantic parsing & meaning representation (1)

 Fields

Arts and Humanities (2)Computer Science (2)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/proceedings-of-the-vldb-endowment/2023/